Data Analysis Engineer
Description -
Job Summary
- This role is responsible for analyzing and interpreting complex data sets using statistical techniques to identify trends, patterns, and insights that can be used to form business decisions and improve organizational performance. The role designs and develops methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions. The role develops programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
该职位负责运用统计分析技术对复杂数据集进行分析和解读，识别数据中的趋势、模式和洞察，为业务决策提供支持，并提升组织整体绩效。
该岗位将负责设计和开发相关方法、流程及系统，对来自不同来源、结构多样且非结构化的大数据进行整合和分析，从而生成可落地的业务洞察和解决方案。
同时，还需开发程序、算法及自动化流程，对来自多个不同数据源的大规模数据集进行清洗、整合和评估，为企业创造业务价值并支持数据驱动决策。
Responsibilities
- Oversees data mining using modern tools and programming languages.
- Develops predictive and prescriptive models of moderate complexity to surface insights; drives action, defines success measures and tracks performance of models.
- Drives the implementation of models to uncover patterns and predictions creating business value and innovation.
- Partners with data engineering teams across multiple business lines to build data pipelines, improve data assets, quality, metrics, and insights.
- Creates visualizations and other forms of communication that effectively showcase insights and findings to both technical and non-technical audiences.
- Leads a project team of data science professionals and provides guidance, training and mentoring to less experienced staff members.
- Collaborates and communicates with project team regarding project progress and issue resolution.
- Represents the data science team for all phases of larger and more-complex development projects.
- Identifies and recommends improvement upon existing methodologies by developing new data sources, testing model assumptions, and fine-tuning model parameters.
- Maintains proficiency within the data science domain by keeping up with technology and trend shifts.
- 使用现代化工具和编程语言开展数据挖掘工作。
- 开发中等复杂度的预测性模型和处方性模型，从数据中挖掘业务洞察；推动相关行动落地，制定成功评估指标，并持续跟踪模型表现。
- 推动模型的实施与应用，挖掘数据中的模式和预测信息，为业务创造价值并推动创新。
- 与多个业务部门的数据工程团队合作，构建数据管道（Data Pipeline），持续优化数据资产、数据质量、指标体系及业务洞察能力。
- 创建数据可视化及其他沟通材料，以便向技术和非技术受众有效展示分析结果和业务发现。
- 领导数据科学项目团队，为经验较少的团队成员提供指导、培训和辅导。
- 与项目团队保持密切沟通与协作，跟踪项目进展并推动问题解决。
- 在大型及复杂项目的各个开发阶段代表数据科学团队参与项目工作。
- 通过开发新的数据来源、验证模型假设以及优化模型参数，持续改进现有方法论，并提出优化建议。
持续关注数据科学领域的新技术和行业发展趋势，保持专业能力和技术敏锐度。
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Education & Experience Recommended
- Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
- Typically has 4-7 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field or an advanced degree with 3-5 years of work experience.
数学、统计学、经济学、计算机科学、数据科学或其他相关专业本科及以上学历；或者具备与之相当的工作经验及经验证明的专业能力。
通常要求具备 4–7年相关工作经验 ，优先考虑具有以下领域经验的候选人：
- 数据分析（Data Analytics）
- 统计建模（Statistical Modeling）
- 机器学习（Machine Learning）
- 其他相关技术领域
对于拥有硕士或博士等高级学位的候选人，通常要求具备 3–5年相关工作经验 。
Preferred Certifications
- Programming Language/s Certification (SQL, Python, or similar)
- 编程语言相关认证 （如 SQL、Python 或类似技术认证）
Knowledge & Skills
- Algorithms
- Amazon Web Services
- Apache Spark
- Artificial Intelligence
- Big Data
- Computer Science
- Data Analysis
- Data Mining
- Data Science
- Data Visualization
- Python (Programming Language)
- SQL (Programming Language)
Cross-Org Skills
- Effective Communication
- Results Orientation
- Learning Agility
- Digital Fluency
- Customer Centricity
Impact & Scope
- Impacts multiple teams and may act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process.
Complexity
- Responds to moderately complex issues within established guidelines.
Disclaimer
- This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Job -
Data & Information Technology
Schedule -
Full time
Shift -
First Shift (China)
Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal "
